Interrupted Time Research Articles

The Impact of Customized Screening Intervals on the Burden of Drug-Drug Interaction Alerts: An Interrupted Time Series Analysis.

Fixed and broad screening intervals for drug-drug interaction (DDI) alerts lead to false positive alerts, thereby contributing to alert fatigue among healthcare professionals. Hence, we aimed to investigate the impact of customized screening intervals on the daily incidence of DDI alerts. An interrupted time series analysis was performed at the University Hospitals Leuven to evaluate the impact of a pragmatic intervention on the daily incidence of DDI alerts per 100 prescriptions. The study period encompassed 100 randomly selected days between April 2021 and December 2022. Preceding the intervention, a fixed and broad screening interval of 7 days before and after prescribing an interacting drug was applied. The intervention involved implementing customized screening intervals for a subset of highly prevalent or clinically relevant DDIs into the hospital information system. Additionally, the sensitivity of the tailored approach was evaluated. During the study period, a mean of 5731 (± 2909) new prescriptions per day was generated. The daily incidence of DDI alerts significantly decreased from 9.8% (95% confidence interval (CI) 8.4;11.1) before the intervention, to 6.3% (95% CI 5.4;7.2) afterwards, p < 0.0001. This corresponded to avoiding 201 (0.035*5731) false positive DDI alerts per day. Sensitivity was not compromised by our intervention. Defining and implementing customized screening intervals was feasible and effective in reducing the DDI alert burden without compromising sensitivity.

Infection epidemiological effects of school closures during the second COVID-19 pandemic wave-an exemplary analysis within alower Bavarian region

The rapid global spread of the SARS-CoV‑2 virus during the COVID-19 pandemic led to widespread non-pharmaceutical interventions, such as school closures, to curb infections. This study investigates the influence of school closures on the number of new infections to reduce the existing knowledge gap in this area. The effect of school closures starting on 16December 2020, was quantified using COVID-19 infection data from the district and city of Landshut in Bavaria between November 2020 and January 2021. An interrupted time series (ITS) analysis was performed to analyze daily new infections among 6-18 year olds and the entire population in the region before and after the school closures using anegative binomial regression model. The analysis showed that the trend of daily new COVID-19 infections among 6-18 year olds significantly decreased after the school closures (incidence rate ratio (IRR) 0.93; 95% confidence interval (CI): 0.89-0.96; p < 0.001). This was also true for the entire study population (IRR 0.95; 95% CI: 0.93-0.97; p < 0.001). In the context of various concurrent measures to contain the COVID-19 pandemic, the study provides evidence for asignificant association between school closures and reduced COVID-19 infections. By optimizing the existing incomplete evidence base on the role of school closures in pandemic control, this finding can support involved stakeholders and contribute to strengthening future approaches to pandemic prevention.

Cardiovascular presentations during the COVID-19 pandemic: an interrupted time series analysis.

The broader implications of the Coronavirus disease 2019 pandemic on cardiovascular hospitalizations remain unclear. We aimed to assess trends in cardiovascular presentations during the Coronavirus disease 2019 pandemic. This multicentre study examined cardiovascular presentations from March 2018 to February 2023. Patients with cardiovascular presentations were identified through administrative health records using ICD-10-AM diagnosis codes. Four key study periods were analysed: T0-pre-pandemic, T1-first lockdown, T2-easing of restrictions and T3-release of restrictions and widespread vaccination. Interrupted time series analysis was used to predict weekly cardiovascular presentations, with the mean difference between actual and predicted numbers assessed for significance. Overall, 116 518 patients were included across three major public hospitals in Australia. Cardiovascular presentations were significantly lower in T1 than predicted, with a mean decline of 13.1% (SD 16.2%; P=0.004). There was a significant difference between the expected and actual number of most cardiovascular presentations in T2 and T3, apart from a significant reduction in cardiomyopathy and heart failure presentations during T3 (4.5% [SD 23.7%]; P=0.007). Cardiovascular presentations were significantly lower during the initial lockdown phase of the COVID-19 pandemic; this attenuated with easing of social restrictions and widespread vaccination, except for persistent reduction in cardiomyopathy and heart failure presentations.

Substitution of higher-strength beers with zero-alcohol beers: Interrupted time series analyses of Spanish household purchase data, 2017-2022.

In its action plan (2022-2030) to reduce the harmful use of alcohol, WHO calls on economic operators to "substitute, whenever possible, higher-alcohol products with no-alcohol and lower-alcohol products in their overall product portfolios, with the goal of decreasing the overall levels of alcohol consumption in populations and consumer groups". This paper investigates substitution within beer brands at the level of the consumer, based on Spanish household purchase data using interrupted time series analysis. For households (n=1791, 9.1% of all households) that newly bought at least one of eleven branded zero-alcohol beers (responsible for over three-quarters of all zero-alcohol beer purchased), the associated purchases of all grams of alcohol after the first purchase of zero-alcohol beer were reduced by 5.5%, largely due to substituting every one litre of higher strength beer (ABV>3.5%) with 0.75 litres of same-branded zero-alcohol beer (ABV=0.0%). For households (n= 337, 1.8% of all households) that had never previously purchased a same-branded higher-strength beer, but newly purchasing a same-branded zero-alcohol beer, the associated purchases of all grams of alcohol after the first purchase of zero-alcohol beer were reduced by 14%; this reduction was largely due to such households' decreasing their associated purchases of wines and spirits. Thus, at the level of the consumer, based on Spanish household purchase data of branded zero-alcohol beers, the evidence behind WHO's call for substitution appears to be substantiated.

Short-Cycle Autoclave Sterilization of Instruments in Same-Day Ophthalmic Surgeries

What Is the Issue? The volume of ophthalmic surgeries is increasingly high, with cataract surgery being 1 of the most performed surgeries in Canada. Infections following ophthalmic surgeries, while rare, can cause severe complications that may lead to irreversible vision loss. Reducing postsurgery infections is a high priority in clinical practice. Running a full wrapped, terminal steam sterilization cycle for ophthalmic instruments in autoclaves may be inefficient for ophthalmic surgeries and may cause unnecessary heavy economic and environmental burdens due to high surgical volumes. Using instruments sterilized on a short cycle between sequential same-day ophthalmic surgeries may help improve efficiency and reduce resources used. These instruments are generally processed using autoclaves (i.e., steam sterilizers); the effectiveness of a shorter-cycle method of sterilization is unclear. What Did We Do? To inform decisions regarding the use of autoclaves for short-cycle sterilization for sequential same-day instrument use in ophthalmic surgery, we sought to identify and summarize evidence comparing this method to full-cycle sterilization of wrapped instruments and identify any relevant recommendations. We searched key resources, including journal citation databases, and conducted a focused internet search for relevant evidence published since 2012. One reviewer screened articles for inclusion based on predefined criteria. What Did We Find? In a laboratory setting to simulate sequential same-day procedures, short-cycle sterilization with interrupted dry time for unwrapped ophthalmic instruments is feasibly as effective as full-cycle sterilization for wrapped instruments using the STATIM autoclave. Similarly, short-cycle sterilization with interrupted dry time for contained ophthalmic instruments is feasibly as effective as full-cycle sterilization for contained instruments using the AMSCO autoclave. For sequential same-day ophthalmic procedures, wet instruments sterilized by a short-cycle process with an interrupted dry time can remain sterile for at least 3 minutes if kept in a covered sterilizer containment device. One guideline recommends that wrapped or unwrapped ophthalmic instruments sterilized by a short-cycle process without full drying should be stored in a covered containment device until retrieved by staff wearing sterile gloves and gowns in the operating room for the subsequent surgery after a short delay. Phaco handpieces should be immediately primed with a balanced salt solution and remain wet as they sit on the sterile instrument table. We did not identify any clinical setting evidence from studies or autoclave manufacturers. It is unclear if clinical outcomes differ between patients undergoing sequential same-day ophthalmic surgeries using short-cycle sterilized instruments and those undergoing surgery using full-cycle sterilized instruments. What Does This Mean? Preliminary laboratory evidence and guideline recommendations supporting the use of autoclaves for short-cycle sterilization of instruments for sequential same-day ophthalmic surgeries are available. However, there is no clinical effectiveness evidence available on this process in patient settings. Future research is necessary to understand the clinical safety of using instruments sterilized by short cycles for sequential same-day use for patients undergoing ophthalmic surgeries. In addition to the evidence and recommendations identified, other factors, such as environmental influence, may be useful considerations when making decisions about short-cycle sterilization for sequential same-day instrument use for ophthalmic surgery.

Reducing strain on primary healthcare systems through innovative models of care: the impact of direct access physiotherapy for musculoskeletal conditions—an interrupted time series analysis

ObjectivesTo evaluate the longitudinal impact of introducing a national, direct access physiotherapy model of care on the rates of primary and secondary care consultations for musculoskeletal (MSK) conditions.DesignInterrupted time series...

Acoustic emission and 4D X-ray micro-tomography for monitoring crack propagation in rocks

Acoustic emission (AE) and 4D X-ray computed tomography (4D XCT) were used simultaneously to study crack initiation and propagation in two different types of quartz-rich sandstones during the four-point bending experiments. Statistical analysis of the AE response indicated the failure mechanisms and their dynamics. The characteristic changes observed in the AE response defined the timing of the bending interruptions for XCT scanning to reveal the development of the crack. It was possible to quantitatively describe the developing cracks in their dimensions and volume and relate this information to the rate of decrease in the post-peak region of the material response. It could be concluded that the combination and concurrent use of AE and XCT techniques represents a highly effective and reliable instrument for observation, description, analysis of the crack propagation process, and rock disintegration in detail at a microscale level. With regard to the specific sandstones studied, Mšené sandstone is softer, respectively, less brittle, while Kocbeře sandstone is characterised by a more brittle behaviour accompanied by an AE signal with higher amplitudes compared to those of Mšené.

Exploring institutional stratification: Minority‐serving institutional pathways to medical school acceptance in the United States

AbstractIntroductionRecruiting and training a diverse pool of physicians from historically excluded groups is vital to solving complex scientific problems and increasing access to patient care. Disparate educational and health outcomes of COVID‐19 amplified this need. In stratified higher education systems, underfunded institutions that serve greater numbers of underrepresented in medicine (URM) students face unique barriers to entering physician training. However, pathways from historically underfunded minority‐serving institutions (MSIs) in the United States to medical school (MD) are not well understood.MethodA hierarchical logistic regression analysis of 328 488 de‐identified applicants to US MD‐granting medical schools for academic years 2017–2018 through 2022–2023 was used to determine predictors of acceptance based on MSI attendance compared to predominantly White institutions (PWI) and other literature‐informed predictors. An interrupted time series analysis determined the significance in changes in observed differences in application acceptance before and after the COVID‐19 pandemic.ResultsIn model 1, MSI attendance was associated with significantly lower odds of acceptance, with a 42% to 52% chance of acceptance compared to PWI applicants. Adding MCAT and GPA significantly increased odds of acceptance for most MSI applicants in model 2. MSI attendance, MCAT, GPA and socio‐economic status indicators were useful predictors, improving the acceptance model by 39% better than the null model. Although some predictors showed a change in odds over time, none changed significantly when comparing before and after COVID‐19.DiscussionMSI attending students were less likely to be admitted to MD programmes, highlighting systemic stratification until other academic factors were introduced to the model that alleviated lower odds, and the COVID‐19 pandemic did not substantially change these trends. Improved pathways and strengthened institutional relationships between institutions that have greater proportions of underrepresented students and medical schools may help improve MSI applicant odds furthering diversity within the physician‐trained workforce.

Depressive symptoms and suicidal ideation among university students before and after the COVID-19 pandemic

BackgroundThe COVID-19 pandemic and lockdown have had negative effects on students' mental health. However, little information is available regarding the frequencies of depressive symptoms and suicidal ideation during the post-pandemic period. We aimed to determine the effect of the COVID-19 pandemic on depressive symptoms and suicidal ideation among French university students. MethodsIn this comparative study, 4463 students were recruited during the pre-COVID-19 pandemic period (2013-2020) and 1768 students, during the post-COVID-19 pandemic period (2022-2023). Standardized frequencies of depressive symptoms and suicidal ideation were compared between the two time periods. Changes in the level of depressive symptoms and suicidal ideation between the pre- and post-pandemic periods, were then analyzed using interrupted time series analysis. ResultsCompared to participants from the pre-pandemic sample, participants from the post-pandemic sample had higher standardized rates of depressive symptoms (40.6 % vs 25.6 %) and suicidal ideation (29.3 % vs 21.1 %). Segmented logistic regression showed an about 50 % increased risk of depressive symptoms (aOR, 1.47; 95 % CI, 1.01–2.13) and a 100 % increased risk of suicidal ideation (aOR, 2.00; 95 % CI, 1.33–3.00) in the post-pandemic period. Before the pandemic, there was no significant time-trend for depressive symptoms (aOR, 1.002; 95 % CI, 0.999–1.006) and suicidal thoughts (0.999–1.006; aOR, 0.999; 95 % CI, 0.995–1.002). LimitationsPotential biases related to self-selection of participants in the study and information bias. History of depression and suicide attempt were self-reported. ConclusionsThese findings reveal an alarming deterioration of students' mental health in the post-pandemic period compared to the pre-pandemic era.

Impact of the COVID-19 pandemic on telogen effluvium: a nationwide multicentre interrupted time series study.

There is ongoing debate regarding the association between telogen effluvium (TE) and COVID-19, as well as COVID-19 vaccines. To investigate the impact of the COVID-19 pandemic and vaccination on the development of TE among patients visiting dermatology clinics in South Korea. Between 2017 and 2022, data regarding patients with TE and other types of hair loss were collected from 22 hospitals in South Korea. An interrupted time series analysis was conducted, dividing the time into periods before and after the COVID-19 pandemic, as well as before and after the COVID-19 vaccination. There was a significant slope change in the percentage of cases of TE during the postpandemic period (slope change 0.011, 95% confidence interval 0.005-0.017, P < 0.001), but no significant changes were observed after vaccination. The percentage of patients with other types of hair loss was not associated with COVID-19 or vaccination. The retrospective nature of the study may have limited the ability to establish causation. This multicentre study provides insights into the epidemiology of TE, showing a significant increase in cases of TE following the COVID-19 pandemic. However, there was no association between the occurrence of TE and COVID-19 vaccines.

Strengthening China’s National Essential Public Health Services Package for hypertension and diabetes care: protocol for an interrupted time series study with mixed-methods process evaluation and health economic evaluation

BackgroundDespite major primary health care (PHC) reforms in China with the 2009 launch of the National Essential Public Health Service Package, the country experiences many challenges in improving the management of non-communicable diseases in PHC facilities. “EMERALD” is a multifaceted implementation strategy to strengthen the management of hypertension and type-2 diabetes mellitus (T2DM) in PHC facilities. The study aims to: (1) examine the effectiveness of EMERALD in improving hypertension and T2DM management; (2) evaluate the implementation of the interventions; and (3) use the study findings to model the long-term health economic impact of the interventions.MethodsThe EMERALD intervention components include: (1) empowerment for PHC providers through training and capacity building; (2) empowerment for patient communities through multi-media health education; and (3) empowerment for local health administrators through health data monitoring and strengthening governance of local PHC programs. An interrupted time series design will be used to determine the effectiveness of the interventions based on routinely collected health data extracted from local health information systems. The primary effectiveness outcome is the guideline-recommended treatment rates for people with hypertension and T2DM. Secondary effectiveness outcomes include hypertension and T2DM diagnosis and control rates, and enrolment and adherence rates to the recommended care processes in the National Essential Public Health Service Package. A mixed-methods process evaluation will be conducted to evaluate the implementation of the interventions, including the reach of the target population, adequacy of adoption, level of implementation fidelity, and maintenance. Qualitative interviews with policy makers, health administrators, PHC providers, and patients with hypertension and/or T2DM will be conducted to further identify factors influencing the implementation. In addition, health economic modelling will be performed to explore the long-term incremental costs and benefits of the interventions.DiscussionThis study is expected to generate important evidence on the effectiveness, implementation, and health economic impact of complex PHC interventions to strengthen the primary care sector’s contribution to addressing the growing burden of non-communicable diseases in China.Trial registrationThe study has been registered on Chinese Clinical Trial Registry at https://www.chictr.org.cn/ (Registration number ChiCTR2400082036, on March 19th 2024).

Performance analysis of indicators in teaching hospitals after the Health Transformation Plan: a Case Study in Iran

BackgroundThis study aimed to examine the status of performance indicators in hospitals affiliated with Qazvin University of Medical Sciences (QUMS) before and after the implementation of the Health Transformation Plan (HTP).MethodsThis longitudinal descriptive-analytical study was conducted utilizing hospital data. The study collected data using a checklist that included both general characteristics of the participating hospitals and performance indicators such as “the number of outpatient visits,” “the number of paraclinical patients,” “the number of surgeries,” and “the number of inpatients” on a monthly basis for 2012–2019. The intervention examined in this study was the implementation of the HTP in May 2014. The data collected was analyzed using interrupted time series and STATA statistical software version 15.ResultsThe study examined seven hospitals affiliated with QUMS, including general, trauma, pediatric, gynecology, and psychiatry hospitals. The findings indicated a significant increase in outpatient visits, paraclinical patients, and inpatients in the first month after the intervention. Specifically, there was an increase of 1739 in the number of outpatient visits, an increase of 513 in the number of paraclinical patients, and an increase of 135 in the number of inpatients (p < 0.001).ConclusionThe HTP has improved patients’ access to medical services. It achieved this by reducing out-of-pocket payments for healthcare services and implementing programs such as developing clinics, improving the quality of visits, and retaining doctors in deprived areas. The reduction in out-of-pocket payments has been particularly beneficial for individuals who lack financial resources and previously faced barriers to accessing healthcare services.

Impact of codeine rescheduling on prescribing of codeine and other opioids: Interrupted time series analyses using Australian general practice data.

We aimed to determine the impact of codeine rescheduling on prescribing of codeine and other opioids, with a focus on demographic and diagnoses associated with codeine prescribing before and after rescheduling of codeine to prescription-only in February 2018. We used interrupted time series analysis (February 2016-February 2020) and probit regression to examine prescribing of codeine and other opioids according to primary care data from 464 general practice clinics in Victoria, Australia. The rate of codeine prescribing increased in the month following rescheduling (additional 76 people/10000, 95% confidence interval [CI] 49-103), then declined to baseline rates (slope -2.02, 95% CI 3.79, -0.25). Prescribing of other opioids did not change. Post rescheduling, females were more likely to receive codeine prescriptions compared to males (β=0.094, 95% CI 0.08-0.108) and those aged 70-79 years were more likely to receive codeine compared to those aged <30 years. Those residing in the least disadvantaged areas had a greater probability of being prescribed codeine than those in more disadvantaged areas after rescheduling (β =0.154, 95% CI 0.129-0.179). A documented mental health diagnosis (β =0.067, 95% CI 0.052-0.082) or migraine diagnosis (β =0.057, 95% CI 0.037-0.078) was associated with increased likelihood of receiving a codeine prescription after rescheduling compared to before in contrast to those without such a diagnosis. Codeine rescheduling did not result in a sustained increase in codeine prescribing nor a change in the prescribing of other opioids. Patient factors associated with increased codeine prescribing after compared to before rescheduling included female sex, older age, migraine diagnosis and comorbid mental health conditions. EU PAS Register (EUPAS43218).

Delirium event and associated treatment modifications among older adults with Alzheimer's disease: An interrupted time-series analysis of Medicare data.

Both Alzheimer's disease (AD) and deliriogenic medications increase the risk of delirium in older adults. This study examined the association between delirium and the subsequent monthly use of anticholinergic, sedative, and opioid medications in the 1 year after delirium in older adults with AD. This comparative interrupted time series analysis involved adults (aged 65 years and older) with a diagnosis of AD initiating on cholinesterase inhibitors (ChEIs) based on 2013-2017 Medicare data. Separate patient-level segmented regression models were used for each outcome to evaluate changes in the cumulative anticholinergic burden (CAB), sedative load, and opioid load after the delirium/index event using a 12-month baseline and follow-up period among patients who had a delirium event and those without delirium (control group). Propensity score-based stabilized weights were utilized to balance baseline factors in the delirium and control groups. The study included 80,019 older adults with AD with incident ChEI use; 17.11% had delirium. There was an immediate decline in monthly CAB after the delirium event (mean estimate -0.86, p-value: 0.01) compared to the control group. A similar decline was observed when examining the sedative load (-0.06, p-value: 0.002) after the delirium event. However, there was no decline in opioid load (-0.50, p-value: 0.18). In the long term, CAB (0.13; p-value: <0.0001), sedative load (0.01; p-value: <0.001), and opioid load (0.07; p-value: 0.006) increased over the 1-year post-delirium period in the delirium group compared to those without delirium. This study found the burden of deliriogenic medications over the 1-year follow-up showed increasing trends in older adults with AD, even though there was some level shift in CAB and sedative load after the delirium event.

Reconstruction trends in New York City: A multi-decade, multi-institutional experience before and after the implementation of the Breast Cancer Provider Discussion Law

IntroductionThe potential benefits of breast reconstruction for achieving greater patient satisfaction, wellbeing, and functional outcomes after mastectomy have been widely acknowledged. However, sociodemographic and economic disparities exist in accessing reconstruction. This study aims to characterize the influence of various factors on access to reconstruction and investigate the impact of the Breast Cancer Provider Discussion Law (BCPDL), a legislation that mandates patient education and referral to plastic surgery at the time of breast cancer diagnosis, on utilization of reconstructive services. MethodsRetrospective chart review was performed to collect data on patients who underwent mastectomy at two institutions within the New York-Presbyterian system from 1998-2019. Sociodemographic, past medical history, and treatment approach information were recorded. Interrupted time series analysis and logistic regression were used for statistical analysis. Results6,122 patients were included in the cohort. 3,737 (61.04%) underwent reconstruction and 2,385 (38.96%) did not. We found that older age, Medicaid/Medicare insurance, higher tumor staging, and identity as Asian American/Pacific Islander were negative predictors of undergoing reconstruction. On interrupted time series analysis of the years prior to and the years following the 2010 BCPDL implementation, while there was an immediate increase in the proportion of patients who received reconstruction, the effects were not sustained. ConclusionOur data indicates that patient-physician communication alone may not be sufficient to bridge the gap in reconstructive care. This study highlights the need for consistent plastic surgery referral for sustained equal access to reconstructive services.

Emergency admission predictive risk stratification models: assessment of implementation consequences (PRISMATIC 2): protocol for a mixed methods study.

Emergency admissions are costly, increasingly numerous, and associated with adverse patient outcomes. Policy responses have included the widespread introduction of emergency admission risk stratification (EARS) tools in primary care. These tools generate scores that predict patients' risk of emergency hospital admission and can be used to support targeted approaches to improve care and reduce admissions. However, the impact of EARS is poorly understood and there may be unintended consequences. To assess effects, mechanisms, costs, and patient and healthcare professionals' views related to the introduction of EARS tools in England. Quasi-experimental mixed methods design using anonymised routine data and qualitative methods. We will apply multiple interrupted time series analysis to data, aggregated at former Clinical Commissioning Group level, to look at changes in emergency admission and other healthcare use following EARS introduction across England. We will investigate GP decision-making at practice level using linked general practice and secondary care data to compare case-mix, demographics, indicators of condition severity and frailty associated with emergency admissions before and after EARS introduction. We will undertake interviews (n~48) with GPs and healthcare staff to understand how patient care may have changed. We will conduct focus groups (n=2) and interviews (n~16) with patients to explore how they perceive that communication of individual risk scores might affect their experiences and health seeking behaviours. Findings will provide policymakers, healthcare professionals, and patients, with a better understanding of the effects, costs and stakeholder perspectives related to the introduction of EARS tools.

Fiscal austerity and municipal health spending: an interrupted time series study.

To analyze the impact of the fiscal austerity policy (PAF) on health spending in Brazilian municipalities, considering population size and source of funds. The interrupted time series method was used to analyze the effect of the PAF on total expenditure, resources transferred by the Federal Government, and own/state per capita resources allocated to health in the municipalities. The time series analyzed covered the period from 2010 to 2019, every six months. The first semester of 2015 was adopted as the start date of the intervention. The municipalities were grouped into small (up to 100,000 inhabitants), medium (101,000 to 400,000 inhabitants), and large (over 400,000 inhabitants). The data was obtained from the Sistema de Informações sobre Orçamentos Públicos em Saúde (Information System on Public Health Budget). The results for the national average of municipalities show that the PAF had a negative impact on the level of total expenditure and own/state resources allocated to health in the first half of 2015, without causing statically significant changes in the trends of any of the indicators analyzed in the period after 2015. Small municipalities saw a drop in total expenditure, while large municipalities saw a drop in own/state resources, and medium-sized municipalities saw a drop in both variables. There was no statistically significant drop in the volume of funds transferred by the Federal Government in the immediate aftermath of the implementation of the PAF in any of the municipal groups analyzed. In the medium-term, the PAF only had a negative impact on the large municipalities, which saw significant reductions in the trends of own/state resources and those transferred by the Union for health. In general, the impact of the PAF on health financing in municipalities was immediate and based on the decrease in own/state resources allocated to health. In large municipalities, however, the impact lasted from 2015 to 2019, mainly affecting health expenditure from federal funds.

Redirection of low-acuity emergency department patients to nearby medical clinics using an electronic medical support system: effects on emergency department performance indicators

BackgroundOvercrowded emergency departments (EDs) are associated with higher morbidity and mortality and suboptimal quality-of-care. Most ED flow management strategies focus on early identification and redirection of low-acuity patients to primary care settings. To assess the impact of redirecting low-acuity ED patients to medical clinics using an electronic clinical decision support system on four ED performance indicators.MethodsWe performed a retrospective observational study in the ED of a Canadian tertiary trauma center where a redirection process for low-acuity patients was implemented. The process was based on a clinical decision support system relying on an algorithm based on chief complaint, performed by nurses at triage and not involving physician assessment. All patients visiting the ED from 2013 to 2017 were included. We compared ED performance indicators before and after implementation of the redirection process (June 2015): length-of-triage, time-to-initial-physician-assessment, length-of-stay and rate of patients leaving without being seen. We performed an interrupted time series analysis adjusted for age, gender, time of visit, triage category and overcrowding.ResultsOf 242,972 ED attendees over the study period, 9546 (8% of 121,116 post-intervention patients) were redirected to a nearby primary medical clinic. After the redirection process was implemented, length-of-triage increased by 1 min [1;2], time-to-initial assessment decreased by 13 min [-16;-11], length-of-stay for non-redirected patients increased by 29 min [13;44] (p < 0.001), minus 20 min [-42;1] (p = 0.066) for patients assigned to triage 5 category. The rate of patients leaving without being seen decreased by 2% [-3;-2] (p < 0.001).ConclusionImplementing a redirection process for low-acuity ED patients based on a clinical support system was associated with improvements in two of four ED performance indicators.

Strength of Association between Coronavirus Disease 2019 and Neurological Disorders in Children: A Case-Control Study

Introduction: Evidence suggests potential neurological complications of coronavirus disease 2019 (COVID-19), particularly in adults. While case series have hinted at associations between COVID-19 and neurological disorders (NDs) in children, the extent of this link remains unclear. This study investigates temporal trends in NDs during the pandemic and assesses their potential association with COVID-19 infection in children. Methods: We analyzed national Thai hospitalization data (2017–2022) for children under 18 with specific NDs (acute transverse myelitis, central nervous system demyelination, neuromyelitis optica, optic neuritis, polyneuropathy, stroke). An interrupted time series analysis was employed to identify changes in the incidence trends of NDs following the declaration of the COVID-19 pandemic. A matched case-control analysis was conducted using data specific to the Thai COVID-19 outbreak period. This analysis aimed to estimate the association between recent/concurrent COVID-19 infection and NDs in children. A propensity score matching on age group, sex, and month of admission was performed before conducting logistic regression. Results: From 2017–2022, 1,721 children were admitted with NDs (2,474 admissions), with a male predominance (55%) and average age of 10.6 years. Significant slope change was observed in optical neuritis trends coinciding with the third COVID-19 wave. The case-control analysis included 468 cases and 2,340 controls. Children with NDs had a significantly higher prevalence of recent/concurrent COVID-19 (matched odds ratio: 1.95, 95% confidence interval: 1.21–3.16). Subgroup analysis revealed an association between stroke and recent/concurrent COVID-19 (matched odds ratio: 3.05, 95% confidence interval: 1.3–7.16). Thus, this study suggests an association between recent/concurrent COVID-19 and NDs, especially pediatric stroke.

Acute Health System-Level Interventions for Identification and Management of Domestic Abuse: Preliminary Interrupted Time Series Evaluation.

This preliminary interrupted time series analysis evaluated different interventions to improve identification of victim-survivors of domestic abuse in one U.K. National Health Service trust, focusing on emergency department, sexual health services and HIV care, and obstetrics and gynecology. This analysis demonstrated that while system-level interventions can improve identification of domestic abuse in clinical contexts, the exact nature of interventions most likely to be effective may vary in different clinical contexts. For example, none of the modeled interventions generated significant impacts in emergency department contexts, and estimates were close to the null in all cases, but routine inquiry demonstrated effectiveness in sexual health services, while implementation generated improved effectiveness in the obstetrics and gynecology setting.